6 Reasons Your Business is Falling Behind the AI Race
If you’ve gotten excited about AI’s reach into the business sector, you aren’t alone. Around 61% of businesses have already implemented some sort of AI initiative, and it’s likely your business has as well. If your AI initiative isn’t delivering the results you expected, it may not be the... Read more
AI and Machine Learning in Practice
AI needs to be strategic. Playing with AI on the edges and deploying small prototypes and pilots isn’t going to help revolutionize your business model. Rather, taking a long look at your current business and deciding where AI has the potential to make the most significant impact is the... Read more
Deep Learning for Business: 5 Use Cases
Enterprises at every stage of growth from startups to Fortune 500 firms are using AI, machine learning, and deep learning technologies for a wide variety of applications. Deep learning, as the fastest growing area in AI, is empowering much progress in all classes of emerging markets and ultimately will... Read more
Data and the Future of Value
How to value data as an asset istorically, companies have pursued the dollar as a measure of value in the pursuit of shareholder value. Cash flow, profits, and asset values are all about dollars. I think an additional set of measurements can be added to the mix around the value of... Read more
Are You Ready to Have a Robot as Your Boss?
Artificial intelligence (AI) and robots have slowly but steadily made their way into a variety of industries spanning fast food to the financial sectors. This expansion is projected to continue and is forecasted to replace a considerable amount of jobs. A Forrester report notes that AI can replace as many as... Read more
This is the first post of a series of three articles in which we will discuss tips and guidelines for successful data science implementations. This post goes over the things you should worry about before to write the first line of code. A high level data science project will... Read more
Decision Making and Diversity
Introduction It should be remembered that just as the Declaration of Independence promises the pursuit of happiness rather than happiness itself, so the iterative scientific model building process offers only the pursuit of the perfect model. For even when we feel we have carried the model building process to a conclusion... Read more
Business Analytics: Requirements for Data Transformation
There is a major change happening in the IT industry — the use of big data and analytics to guide how businesses are run. Many companies are embracing analytics as part of their core strategies. Unfortunately, some of those companies think that they can just purchase an analytics solution,... Read more
Beyond the Black Box in Analytics and Cognitive
There is a growing crisis in the world of analytics and cognitive technologies, and as of yet there is no obvious solution. The crisis was created by a spate of good news in the field of cognitive technology algorithms: they’re working! Specifically, a relatively new and complex type of... Read more
How to Get Executive-Level Support for Business Analysis
It probably goes without saying that PMI’s foundational standard on business analysis has an obvious audience—those who actually do business analysis as part of their everyday job. It’s pretty unlikely executives or CIOs are going to pick it up for some light reading. That’s why I wanted to use this post... Read more